Nadja Feddermann
About
In The Last Decade
Nadja Feddermann
9 papers receiving 340 citations
Peers
Comparison fields: 5 of 32
- Plant Science 327
- Pharmacology 50
- Molecular Biology 49
- Insect Science 33
- Agronomy and Crop Science 32
Countries citing papers authored by Nadja Feddermann
This map shows the geographic impact of Nadja Feddermann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nadja Feddermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Feddermann more than expected).
Fields of papers citing papers by Nadja Feddermann
This network shows the impact of papers produced by Nadja Feddermann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nadja Feddermann. The network helps show where Nadja Feddermann may publish in the future.
Co-authorship network of co-authors of Nadja Feddermann
This figure shows the co-authorship network connecting the top 25 collaborators of Nadja Feddermann. A scholar is included among the top collaborators of Nadja Feddermann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadja Feddermann. Nadja Feddermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 13 | |
| 3 | 32 | |
| 4 | 16 | |
| 5 | 61 | |
| 6 | 135 | |
| 7 | 28 | |
| 8 | 22 | |
| 9 | 32 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.